Demographics details for Danube, MN vs Kansas city, MO
Population Overview
Compare main population characteristics in Danube, MN vs Kansas city, MO.
| Data | Danube | Kansas city |
|---|---|---|
| Population | 450 | 509,297 |
| Median Age | 36.0 years | 35.4 years |
| Median Income | $57,083 | $65,256 |
| Married Families | 41.0% | 32.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Danube vs Kansas city
- The population in Kansas city is higher at 509,297, compared to 450 in Danube.
- Residents in Danube have a higher median age of 36.0 years compared to 35.4 years in Kansas city.
- Kansas city has a higher median income of $65,256, compared to $57,083 in Danube.
- A higher percentage of married families is found in Danube at 41.0% compared to 32.0% in Kansas city.
- The poverty level is higher in Kansas city at 15%, compared to 5% in Danube.
- Kansas city has a higher unemployment rate at 4.3% compared to 4.2% in Danube.
Demographics
Demographics Danube vs Kansas city provide insight into the diversity of the communities to compare.
| Demographic | Danube | Kansas city |
|---|---|---|
| Black | Data is updating | 26 |
| White | 95 | 53 |
| Asian | Data is updating | 3 |
| Hispanic | 5 | 11 |
| Two or More Races | Data is updating | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danube vs Kansas city
- In Kansas city, the percentage of Black residents is higher at 26% compared to 0% in Danube.
- Danube has a higher percentage of White residents at 95% compared to 53% in Kansas city.
- In Kansas city, the Asian population stands at 3%, greater than 0% in Danube.
- Kansas city has a higher percentage of Hispanic residents at 11%, compared to 5% in Danube.
- The percentage of residents identifying as two or more races is higher in Kansas city at 7%, compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Danube and Kansas city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danube | Kansas city |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.0% |
| Physical Health Not Good | 9.9% | 12.5% |
| Depression | 23.3% | 21.7% |
| Smoking | 18.5% | 18.7% |
| Binge Drinking | 19.6% | 18.2% |
| Obesity | 37.8% | 40.9% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Danube vs Kansas city
- In Kansas city, a higher percentage report poor mental health at 18.0% compared to 15.2% in Danube.
- Depression is more prevalent in Danube at 23.3% compared to 21.7% in Kansas city.
- Kansas city has a higher smoking rate at 18.7% compared to 18.5% in Danube.
- Binge drinking is more common in Danube at 19.6% compared to 18.2% in Kansas city.
- Kansas city has higher obesity rates at 40.9% compared to 37.8% in Danube.
- Disability percentages are the same in both Danube and Kansas city at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danube | Kansas city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (4,964) |
| High School Diploma | 19.3% (87) | 14.5% (73,825) |
| Less than High School | 10.4% (47) | 9.4% (47,724) |
| Bachelor's Degree and Higher | 5.8% (26) | 25.1% (128,008) |
Education Levels Comparison: Danube vs Kansas city
- In Kansas city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Danube.
- A higher percentage of residents in Danube hold a high school diploma at 19.3% compared to 14.5% in Kansas city.
- More residents in Danube have less than a high school education at 10.4% compared to 9.4% in Kansas city.
- In Kansas city, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 5.8% in Danube.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.